Mobility plots
Itamar Caspi
(updated: 2020-05-06)
You’ll need to first install the {tidycovid19} package from GitHub
Load packages and set theme
Download latest data
merged <-
download_merged_data(cached = TRUE)
gcmr_raw_country <-
download_google_cmr_data(cached = TRUE, type = "country")
gcmr_raw_country_region <-
download_google_cmr_data(cached = TRUE, type = "country_region")
mtr_raw_country <-
download_apple_mtr_data(cached = TRUE, type = "country")
mtr_raw_country_region <-
download_apple_mtr_data(cached = TRUE, type = "country_region")
acaps <-
download_acaps_npi_data(cached = TRUE)Print latest observations for Israel
# A tibble: 6 x 1
date
<date>
1 2020-04-21
2 2020-04-22
3 2020-04-23
4 2020-04-24
5 2020-04-25
6 2020-04-26# A tibble: 6 x 1
date
<date>
1 2020-04-28
2 2020-04-29
3 2020-04-30
4 2020-05-01
5 2020-05-02
6 2020-05-03OECD country list
oecd_names <- c("Austria", "Belgium", "Czech Republic", "Denmark", "Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Iceland", "Ireland", "Italy", "Latvia", "Luxembourg", "Netherlands", "Norway", "Poland", "Portugal", "Slovak Republic", "Slovenia", "Spain", "Sweden", "Switzerland", "United Kingdom", "Canada", "Chile", "Mexico", "United States", "Australia", "Japan", "Korea", "New Zealand", "Israel", "Turkey")
# OECD countries list
oecd_iso3c <-
countrycode(
oecd_names,
origin = "country.name",
destination = "iso3c"
)Other countries of interst
Filter OECD data
Israel
GCMR
israel_gcmr <-
gcmr_raw_country %>%
filter(iso3c == "ISR") %>%
select(-c(iso3c, timestamp)) %>%
drop_na() %>%
mutate_if(is.numeric, ~ roll_mean(., 7, fill = NA, align = "right")) %>%
pivot_longer(-date, values_to = "index", names_to = "location")
p_israel_gcmr <- israel_gcmr %>%
mutate(
location = str_replace_all(location, "_", " "),
location = str_to_title(location)
) %>%
ggplot(aes(date, index, color = location)) +
geom_line(size = 1) +
labs(
y = "Change compared to baseline (percent)",
x = "",
title = "Mobility trends for Israel by Place",
subtitle = "(7-day moving average)",
color = "",
lty = "",
caption = "Notes: The shaded area indicates Israeli lockdown period.\nSource: Google Community Mobility Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
) +
scale_color_viridis_d() +
gghighlight(last(index) != 0, label_key = location) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
annotate("rect", xmin = ymd("2020-03-17"), xmax = ymd("2020-04-19"), ymin = -Inf, ymax = +Inf, alpha = 0.1)
p_israel_gcmr 
AMTR
israel_apple <-
oecd %>%
filter(iso3c == "ISR") %>%
select(date, starts_with("apple")) %>%
mutate_if(is.numeric, ~ roll_mean(., 7, fill = NA, align = "right")) %>% pivot_longer(-date, values_to = "index", names_to = "type") %>%
separate(type, into = c("source", "type"), sep = "mtr_", extra = "merge") %>%
drop_na()
p_israel_apple <- israel_apple %>%
filter(type != "transit") %>%
mutate(type = str_to_title(type)) %>%
ggplot(aes(date, index, color = type)) +
geom_line(size = 1) +
geom_hline(aes(yintercept = 100), color = "black", linetype = 2, size = 0.5) +
labs(
y = "Change compared to baseline (percent)",
x = "",
title = "Direction Requests in Israel",
subtitle = "(7-day moving average)",
color = "",
lty = "",
caption = "Notes: The shaded area indicates Israeli lockdown period.\nSource: Apple Mobility Trend Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
# theme_minimal() +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
) +
scale_color_viridis_d() +
gghighlight(last(index) != 0, label_key = type) +
annotate("rect", xmin = ymd("2020-03-17"), xmax = ymd("2020-04-19"), ymin = -Inf, ymax = +Inf, alpha = 0.1)
p_israel_apple
Regional
GCMR
regional_gcmr <-
gcmr_raw_country_region %>%
filter(iso3c == "ISR") %>%
mutate(date = ymd(date)) %>%
select(-c(iso3c, timestamp)) %>%
drop_na()regional_gcmr_long <-
regional_gcmr %>%
pivot_longer(
-c(region, date),
values_to = "index",
names_to = "location"
) %>%
mutate(region = str_remove(region, " District"))
regional_gcmr_long_ma <-
regional_gcmr_long %>%
group_by(region, location) %>%
mutate(index_ma = roll_mean(index, 7, fill = NA, align = "right")) %>%
ungroup()Workplaces
p_regional_gcmr_work <- regional_gcmr_long_ma %>%
mutate(
location = str_replace(location, "_", " "),
location = str_to_title(location)
) %>%
filter(
region != "Center",
location %in% c("Workplaces")
) %>%
drop_na() %>%
ggplot() +
geom_line(aes(date, index_ma, color = region), size = 1) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_d() +
gghighlight(last(index_ma) < 0, label_key = region) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
) +
labs(
color = "District",
y = "Change from baseline (percent)",
x = "",
title = "Mobility Trends to Workplaces by District",
subtitle = "(7-day moving average)",
caption = "Notes: The shaded area indicates Israeli lockdown period.\nSource: Google Community Mobility Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
annotate("rect", xmin = ymd("2020-03-17"), xmax = ymd("2020-04-19"), ymin = -Inf, ymax = +Inf, alpha = 0.1)
p_regional_gcmr_work
Retail
p_regional_gcmr_retail <- regional_gcmr_long_ma %>%
mutate(
location = str_replace(location, "_", " "),
location = str_to_title(location)
) %>%
filter(
region != "Center",
location %in% c("Retail Recreation")
) %>%
drop_na() %>%
ggplot() +
geom_line(aes(date, index_ma, color = region), size = 1) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_d() +
gghighlight(last(index_ma) < 0, label_key = region) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
) +
labs(
color = "District",
y = "Change from baseline (percent)",
x = "",
title = "Mobility Trends to Places of Retail and Recreation by District",
subtitle = "(7-day moving average)",
caption = "Notes: The shaded area indicates Israeli lockdown period.\nSource: Google Community Mobility Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
annotate("rect", xmin = ymd("2020-03-17"), xmax = ymd("2020-04-19"), ymin = -Inf, ymax = +Inf, alpha = 0.1)
p_regional_gcmr_retail
Transit
p_regional_gcmr_transit <- regional_gcmr_long_ma %>%
mutate(
location = str_replace(location, "_", " "),
location = str_to_title(location)
) %>%
filter(
region != "Center",
location %in% c("Transit Stations")
) %>%
drop_na() %>%
ggplot() +
geom_line(aes(date, index_ma, color = region), size = 1) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_d() +
gghighlight(last(index_ma) < 0, label_key = region) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
) +
labs(
color = "District",
y = "Change from baseline (percent)",
x = "",
title = "Mobility Trends to Transit Stations by District",
subtitle = "(7-day moving average)",
caption = "Notes: The shaded area indicates Israeli lockdown period.\nSource: Google Community Mobility Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
annotate("rect", xmin = ymd("2020-03-17"), xmax = ymd("2020-04-19"), ymin = -Inf, ymax = +Inf, alpha = 0.1)
p_regional_gcmr_transit
AMTR
regional_amtr <-
mtr_raw_country_region %>%
filter(iso3c == "ISR") %>%
mutate(date = ymd(date)) %>%
select(-c(iso3c, timestamp)) %>%
mutate(region = str_remove(region, " District")) %>%
drop_na()regional_long_ma <-
regional_amtr %>%
group_by(region) %>%
mutate(driving_ma = roll_mean(driving, 7, fill = NA, align = "right")) %>%
ungroup()
p_regional_amtr <- regional_long_ma %>%
# filter(region != "Center") %>%
ggplot() +
geom_line(aes(date, driving_ma, color = region), size = 1) +
geom_hline(aes(yintercept = 100), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_d() +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
) +
labs(
color = "District",
y = "Change from baseline (percent)",
x = "",
title = "Driving Direction Requests by District",
subtitle = "(7-day moving average)",
caption = "Notes: The shaded area indicates Israeli lockdown period.\nSource: Apple Mobility Trends Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
gghighlight(last(driving_ma) != 0, label_key = region) +
annotate("rect", xmin = ymd("2020-03-17"), xmax = ymd("2020-04-19"), ymin = -Inf, ymax = +Inf, alpha = 0.1)
p_regional_amtr
OECD plots
Workplaces
oecd_range <-
gcmr_raw_country %>%
group_by(iso3c) %>%
mutate_if(is.numeric, ~ roll_mean(., 7, fill = 0, align = "right")) %>%
ungroup() %>%
select(date, iso3c, workplaces) %>%
group_by(date) %>%
summarise(
gcmr_q50 = median(workplaces, na.rm = TRUE),
gcmr_q90 = quantile(workplaces, probs = .90, na.rm = TRUE),
gcmr_q10 = quantile(workplaces, probs = .10, na.rm = TRUE),
max = max(workplaces, na.rm = TRUE),
min = min(workplaces, na.rm = TRUE)
)
israel_gcmr <-
gcmr_raw_country %>%
filter(iso3c == "ISR") %>%
select(date, workplaces) %>%
mutate(workplaces = roll_mean(workplaces, 7, fill = 0, align = "right")) %>%
left_join(oecd_range) %>%
filter(date >= ymd("2020-02-15"))
p_work_ribbon <- israel_gcmr %>%
ggplot(aes(x = date, y = gcmr_q50)) +
geom_line(
aes(x = date, y = gcmr_q50, color = "OECD median"),
size = 1,
color = "#6DCD59"
) +
geom_line(
data = israel_gcmr,
aes(x = date, y = workplaces),
color = "#3E4A89",
size = 1,
) +
geom_ribbon(
aes(ymin = min, ymax = max),
fill = "#6DCD59",
alpha = 0.2
) +
geom_ribbon(
aes(ymin = gcmr_q10, ymax = gcmr_q90),
fill = "#6DCD59",
alpha = 0.2
) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
annotate("text", x = ymd("2020-05-4"), y = -0.35, label = "OECD", color = "#6DCD59") +
annotate("text", x = ymd("2020-05-4"), y = -0.5, label = "Israel", color = "#3E4A89") +
labs(
y = "Change compared to baseline (percent)",
x = "",
title = "Mobility Trends for Places of Work",
subtitle = "(Israel vs. OECD median, 7-day moving average)",
color = "",
lty = "",
caption = "Notes: Dark and light shaded areas around the green line indicate the 90-10 percentile and max-min range, respectively.\nSource: Google Community Mobility Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
)
p_work_ribbon
Retail
oecd_range <-
gcmr_raw_country %>%
group_by(iso3c) %>%
mutate_if(is.numeric, ~ roll_mean(., 7, fill = 0, align = "right")) %>%
ungroup() %>%
select(date, iso3c, retail_recreation) %>%
group_by(date) %>%
summarise(
gcmr_q50 = median(retail_recreation, na.rm = TRUE),
gcmr_q90 = quantile(retail_recreation, probs = .90, na.rm = TRUE),
gcmr_q10 = quantile(retail_recreation, probs = .10, na.rm = TRUE),
max = max(retail_recreation, na.rm = TRUE),
min = min(retail_recreation, na.rm = TRUE)
)
israel_gcmr <-
gcmr_raw_country %>%
filter(iso3c == "ISR") %>%
mutate(retail_recreation = roll_mean(retail_recreation, 7, fill = 0, align = "right")) %>%
select(date, retail_recreation) %>%
left_join(oecd_range) %>%
filter(date >= ymd("2020-02-15"))
p_retail_ribbon <- israel_gcmr %>%
ggplot(aes(x = date, y = gcmr_q50)) +
geom_line(
aes(x = date, y = gcmr_q50),
size = 1,
color = "#6DCD59"
) +
geom_line(
data = israel_gcmr,
aes(x = date, y = retail_recreation),
color = "#3E4A89",
size = 1,
) +
geom_ribbon(
aes(ymin = min, ymax = max),
fill = "#6DCD59",
alpha = 0.2
) +
geom_ribbon(
aes(ymin = gcmr_q10, ymax = gcmr_q90),
fill = "#6DCD59",
alpha = 0.2
) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
annotate("text", x = ymd("2020-05-4"), y = -0.55, label = "OECD", color = "#6DCD59") +
annotate("text", x = ymd("2020-05-4"), y = -0.7, label = "Israel", color = "#3E4A89") +
labs(
y = "Change compared to baseline (percent)",
x = "",
title = "Mobility Trends for Places of Retail and Recreation",
subtitle = "(Israel vs. OECD median, 7-day moving average)",
color = "",
lty = "",
caption = "Notes: Dark and light shaded areas around the green line indicate the 90-10 percentile and max-min range, respectively.\nSource: Google Community Mobility Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
)
p_retail_ribbon
Driving
oecd_range_driving <-
mtr_raw_country %>%
group_by(iso3c) %>%
mutate_if(is.numeric, ~ roll_mean(., 7, fill = 0, align = "right")) %>%
ungroup() %>%
select(date, iso3c, driving) %>%
group_by(date) %>%
summarise(
mtr_q50 = median(driving, na.rm = TRUE),
mtr_q90 = quantile(driving, probs = .90, na.rm = TRUE),
mtr_q10 = quantile(driving, probs = .10, na.rm = TRUE),
max = max(driving, na.rm = TRUE),
min = min(driving, na.rm = TRUE)
)
israel_driving <-
mtr_raw_country %>%
filter(iso3c == "ISR") %>%
mutate(driving = roll_mean(driving, 7, fill = 0, align = "right")) %>%
select(date, driving) %>%
left_join(oecd_range_driving) %>%
filter(date >= ymd("2020-02-15"))
p_driving_ribbon <- israel_driving %>%
ggplot(aes(x = date, y = mtr_q50)) +
geom_line(
aes(x = date, y = mtr_q50),
size = 1,
color = "#6DCD59"
) +
geom_line(
data = israel_driving,
aes(x = date, y = driving),
color = "#3E4A89",
size = 1,
) +
geom_ribbon(
aes(ymin = min, ymax = max),
fill = "#6DCD59",
alpha = 0.2
) +
geom_ribbon(
aes(ymin = mtr_q10, ymax = mtr_q90),
fill = "#6DCD59",
alpha = 0.2
) +
geom_hline(aes(yintercept = 100), color = "black", linetype = 2, size = 0.5) +
annotate("text", x = ymd("2020-05-7"), y = 45, label = "OECD", color = "#6DCD59") +
annotate("text", x = ymd("2020-05-7"), y = 55, label = "Israel", color = "#3E4A89") +
labs(
y = "Change compared to baseline (percent)",
x = "",
title = "Direction Requests, Driving",
subtitle = "(Israel vs. OECD median, 7-day moving average)",
color = "",
lty = "",
caption = "Notes: Dark and light shaded areas around the green line indicate the 90-10 percentile and max-min range, respectively.\nSource: Apple Mobility Trends Report."
) +
scale_x_date(labels = date_format("%d/%m")) +
theme(
legend.position="top",
plot.caption = element_text(hjust = 0)
)
p_driving_ribbon
Phase-out
phase_in <-
acaps %>%
filter(
log_type != "Phase-out measure"
) %>%
mutate(date = ymd(date_implemented)) %>%
group_by(iso3c, date) %>%
summarise(
n_phase_in = n()
)
phase_out <-
acaps %>%
filter(
log_type == "Phase-out measure"
) %>%
mutate(date = ymd(date_implemented)) %>%
group_by(iso3c, date) %>%
summarise(n_phase_out = n())
phase_in_out <-
merged %>%
left_join(phase_in) %>%
left_join(phase_out) %>%
replace_na(list(n_phase_out = 0, n_phase_in = 0)) %>%
group_by(iso3c) %>%
mutate(
cum_phase_out = cumsum(n_phase_out),
cum_phase_in = cumsum(n_phase_in),
share_out = 100*cum_phase_out/cum_phase_in
) %>%
select(country, iso3c, date, cum_phase_in, cum_phase_out, share_out) %>%
drop_na()share_out <-
merged %>%
left_join(phase_in_out) %>%
group_by(iso3c) %>%
mutate(
max_share = max(share_out, na.rm = TRUE),
max_confirmed = max(confirmed, na.rm = TRUE),
dconfirmed = c(NA, diff(confirmed)),
dconfirmed_ma = roll_mean(dconfirmed, 7, fill = 0, align = "right"),
gcmr_workplaces = roll_mean(gcmr_workplaces, 7, fill = 0, align = "right"),
gcmr_retail_recreation = roll_mean(gcmr_retail_recreation, 7, fill = 0, align = "right"),
apple_mtr_driving = roll_mean(apple_mtr_driving, 7, fill = 0, align = "right")
) %>%
filter(date >= ymd("2020-02-15"))
share_out[share_out$iso3c == "TWN",]$population <- 23810261Workplaces
p_phase_out_work <-
share_out %>%
filter(country %in% interesting_countries) %>%
ggplot(aes(date, gcmr_workplaces, color = dconfirmed_ma/population*1e6)) +
geom_line(size = 1.5) +
facet_wrap(~ country, ncol = 5) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_c() +
scale_x_date(labels = date_format("%d/%m")) +
theme_ipsum() +
theme(
legend.position="bottom",
plot.caption = element_text(hjust = 0)
) +
labs(
title = "Mobility Trends to Workplaces in Phasing-out Countries",
subtitle = "(7-day moving avarage)",
y = "Change from baseline (percent)",
x = "",
color = "Daily change in confirmed cases\n per million people (7-day moving average)",
caption = "\nSource: Google Community Mobility Report, ACAPS, and Johns Hopkins University CSSE."
) +
guides(color = guide_colourbar(barwidth = 10, barheight = .5))
p_phase_out_work
Retail
p_phase_out_retail <- share_out %>%
filter(country %in% interesting_countries) %>%
ggplot(aes(date, gcmr_retail_recreation, color = dconfirmed_ma/population*1e6)) +
geom_line(size = 1.5) +
facet_wrap(~ country, ncol = 5) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_c() +
scale_x_date(labels = date_format("%d/%m")) +
theme_ipsum() +
theme(
legend.position="bottom",
plot.caption = element_text(hjust = 0)
) +
labs(
title = "Mobility Trends to Places of Retail and Recreation in Phasing-out Countries",
subtitle = "(7-day moving avarage)",
y = "Change from baseline (percent)",
x = "",
color = "Daily change in confirmed cases\n per million people (7-day moving average)",
caption = "\nSource: Google Community Mobility Report, ACAPS, and Johns Hopkins University CSSE."
) +
guides(color = guide_colourbar(barwidth = 10, barheight = .5))
p_phase_out_retail
Driving
p_phase_out_driving <- share_out %>%
filter(country %in% interesting_countries) %>%
ggplot(aes(date, apple_mtr_driving, color = dconfirmed_ma/population*1e6)) +
geom_line(size = 1.5) +
facet_wrap(~ country, ncol = 5) +
geom_hline(aes(yintercept = 100), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_c() +
scale_x_date(labels = date_format("%d/%m")) +
theme_ipsum() +
theme(
legend.position="bottom",
plot.caption = element_text(hjust = 0)
) +
labs(
title = "Direction Requests in Phasing-out Countries",
subtitle = "(7-day moving avarage)",
y = "Change from baseline (percent)",
x = "",
color = "Daily change in confirmed cases\n per million people (7-day moving average)",
caption = "\nSource: Apple Mobility Trends Report, ACAPS, and Johns Hopkins University CSSE."
) +
guides(color = guide_colourbar(barwidth = 10, barheight = .5))
p_phase_out_driving
Share-out index
p_phase_out <-
share_out %>%
filter(
max_share > 0,
max_confirmed > 10000
) %>%
ggplot(aes(date, share_out, color = dconfirmed_ma/population*1e6)) +
geom_line(size = 1.5) +
facet_wrap(~ country, ncol = 5) +
geom_hline(aes(yintercept = 0), color = "black", linetype = 2, size = 0.5) +
scale_color_viridis_c() +
scale_x_date(labels = date_format("%d/%m")) +
theme_ipsum() +
theme(
legend.position="bottom",
plot.caption = element_text(hjust = 0)
) +
labs(
title = "Phase-out index and COVID-19 Spread",
subtitle = "(7-day moving avarage)",
y = "Change from baseline (percent)",
x = "",
color = "Daily change in confirmed cases\n per million people (7-day moving average)",
caption = "\nSource: Apple Mobility Trends Report, ACAPS, and Johns Hopkins University CSSE."
) +
guides(color = guide_colourbar(barwidth = 10, barheight = .5))
p_phase_out
Measures table
phase_out_measure <- acaps %>%
filter(log_type == "Phase-out measure") %>%
mutate(date = ymd(date_implemented)) %>%
select(date, country, measure, comments) %>%
left_join(
merged %>%
select(date, country, confirmed)
) %>%
filter(confirmed > 10000) %>%
select(-confirmed)
phase_out_measure %>%
group_by(country) %>%
gt() %>%
tab_header(
title = "Phase-out Measures",
subtitle = "Countries with more than 10,000 cconfirmed cases"
) %>%
tab_source_note(
source_note = md("Source: ACAPS.")
) %>%
cols_width(
starts_with("date") ~ px(100),
starts_with("measure") ~ px(150),
starts_with("comments") ~ px(400)
)| Phase-out Measures | ||
|---|---|---|
| Countries with more than 10,000 cconfirmed cases | ||
| date | measure | comments |
| Austria | ||
| 2020-04-07 | Partial lockdown | Tyrol is aligning itself with the federal line, movement between municipalities is allowed again |
| 2020-04-14 | Public services closure | Public transportation is increased in view of the other public service opennings |
| 2020-04-14 | Limit public gatherings | Stores with less than 400sqm are allowed to re-open under existing hygiene measures |
| 2020-05-01 | Public services closure | All stores and services (e.g. hair dresser) allowed to re-open under strict existing hygiene measures |
| 2020-04-07 | Isolation and quarantine policies | Further exemptions added to cross-border workers beyond essential workers, with quarantine requirement relaxed |
| 2020-04-13 | Domestic travel restrictions | For municipalities of Bad Gastein, Bad Hofgastein, Dorfgastein, Großarl und Hüttschlag region |
| 2020-04-11 | Economic measures | Restrictions on work safety for transport drivers slowly reinstated |
| 2020-04-03 | Limit public gatherings | Take-out food from restaurants allowed again |
| 2020-04-21 | Limit public gatherings | Cultural institutions with large open-air area to open from 1st June; smaller ones (to be defined) from mid-May |
| 2020-04-11 | Limit public gatherings | Constructions sites to resume work again after Eastern |
| 2020-05-01 | Limit public gatherings | Park Laxenburg to reopen |
| 2020-04-09 | Public services closure | Reopening of recycling facilities after Eastern |
| 2020-04-23 | Border closure | Rumanian care personell to be allowed to cross borders, starting beginning May sometime |
| 2020-05-01 | Isolation and quarantine policies | Visiting in elderly homes and care homes allowed again |
| 2020-04-17 | Limit public gatherings | Opening of library (18.05), various museums by 01.05 |
| 2020-05-01 | Schools closure | Educational institutions in the care, legal and health sector are allowed to continue, as well as in preparation of final examinations |
| 2020-05-01 | Public services closure | Driving schools allowed to reopen; under strict hygiene measures |
| 2020-05-01 | Limit public gatherings | Events of up to 10 people are allowed again, under strict hygiene measures (demonstrations are exempted from this rules) |
| 2020-05-04 | Isolation and quarantine policies | Visits to elderly homes and care institutions allowed again under strict hygiene measures |
| 2020-05-01 | Other public health measures enforced | Vienna reopens public drinking fountains |
| 2020-04-30 | Lockdown of refugee/idp camps or other minorities | Refugee arrival centre in Traiskirchen to reopen |
| Belgium | ||
| 2020-04-15 | Limit public gatherings | DIY stores and garden centres to re-open under the same social distancing rules as supermarkets |
| 2020-04-15 | Isolation and quarantine policies | Allow that residents of residential facilities – for example, nursing homes, care homes and facilities for the disabled – to be visited by a designated relative or close friend (provided that that person did not have symptoms over the last 2 weeks; and the individual is the same); same rules for anyone who lives at home alone |
| 2020-04-01 | Strengthening the public health system | Vaccinations are taken up again |
| 2020-04-07 | Public services closure | Recycling parks allowed to reopen for urgent matters; recommendations to not go there for non-urgent matters |
| 2020-05-04 | Limit public gatherings | Fabric shops, which - given their important role in the production of mouth masks - are allowed to open their doors. |
| 2020-05-04 | Limit public gatherings | Outdoor physical activity is allowed with up to two people, in addition to those living under the same roof, provided that physical distance is always respected. You will also be allowed to practice other non-contact sports outdoors. |
| 2020-05-04 | Strengthening the public health system | Non-urgent appointments are gradually taken up again |
| 2020-05-04 | Public services closure | Car inspection facilities are allowed to reopen |
| Brazil | ||
| 2020-05-01 | International flights suspension | phase 1 of easing restrictions: As of 1 May, flights from Brazil to USA to pickup |
| China | ||
| 2020-04-08 | Isolation and quarantine policies | Urging elderly care providers in low-risk areas to restore their services, the guideline noted that a 14-day quarantine will not be required among elderly people or staff within the area before their entrance |
| 2020-04-08 | Domestic travel restrictions | Wuhan lifted outbound travel restrictions on April 8 |
| 2020-04-15 | Schools closure | schools should stagger reopening alongside proper containment measures put in place, a health official said on April 15. |
| 2020-04-27 | Strengthening the public health system | safety should be the prerequisite for classes resumption across China as the COVID-19 epidemic situation has been eased |
| 2020-04-30 | Isolation and quarantine policies | Beijing lowers COVID-19 restrictions. People from low-risk areas no longer need to undergo 14-day quarantine |
| 2020-05-02 | Emergency administrative structures activated or established | Hubei province will lower its emergency response to the novel coronavirus outbreak from the top level to the second level starting on April 2. |
| Ecuador | ||
| 2020-05-04 | Partial lockdown | Traffic light' deconfinement: depending on the situation, quarantine and lockdown measures will be lifted selectively across the country. |
| France | ||
| 2020-04-20 | Isolation and quarantine policies | Visits to elderly homes will be allowed again under certain restrictions |
| Germany | ||
| 2020-05-04 | Schools closure | Step-wise uptake of school, starting with final school years and those relevant for attainment of qualifications; ministry tasked with defining steps for the uptake of schooling |
| 2020-04-15 | Schools closure | Special children care made available for more sector and jobs |
| 2020-05-04 | Limit public gatherings | Hairdressers allowed to reopen under strict hygiene restrictions |
| 2020-04-20 | Limit public gatherings | Stores with less than 800 m2 can re-open; irrespective of size, also car dealers, bike shops, and book shops allowed to reopen; all under strict hygiene regulations |
| 2020-04-30 | Public services closure | Some special cases are again consulted in-person in job centres and labour agencies |
| 2020-04-28 | Strengthening the public health system | Gradual reopening of normal healthcare processes and services |
| 2020-04-17 | Border closure | Borders crossings at Remich und Bollendorf were reopened (17th April); Tintesmühle/Dahlem; Gemünd; Rosport/Ralingen; Untereisenbach/Übereisenbach reopened on 1st May |
| 2020-05-04 | Limit public gatherings | Museums, exhibitions, botanical gardens, zoos and playgrounds opening again |
| India | ||
| 2020-04-21 | Partial lockdown | In-house Care-givers of Senior Citizens, Prepaid mobile recharge utilities, Food processing units in urban areas exempt from Lockdown Restrictions to fight COVID-19 Post |
| 2020-04-25 | Partial lockdown | MHA allows opening of certain categories of shops. In rural areas, all shops, except those in shopping malls are allowed to open.In urban areas, all standalone shops, neighborhood shops & shops in residential complexes are allowed to open. Shops in markets/market complexes and shopping malls are not allowed to open.It is clarified that sale by e-commerce companies will continue to be permitted for essential goods only. |
| 2020-04-27 | Economic measures | Gov is focusing on easing policy and implementation bottleneck to supply chains of essential items |
| Iran | ||
| 2020-04-26 | Limit public gatherings | Country to be divided into white, yellow, red zones based on coronavirus outbreak/ Mosques, religious places to reopen in white zones/ We still emphasise on smart social distancing despite some openings/ |
| Israel | ||
| 2020-04-19 | Limit public gatherings | The industry, manufacturing, and services sectors may resume working at a capacity of 30% of their workforce strength or up to 10 employees in the workplace at the same time, whichever is higher. this restriction will not apply to workplaces and businesses that will meet the "purple badge" rules, and these may employ higher workforce strengths. operating a business in violation of the regulations above shall be considered a criminal offense, as well as an administrative offense that may incur fines. Sporting-related activities will be permitted for a single person, for a single person with one regular companion, or people living in the same household, and to a distance of up to 500 meters from the place of residence. Visiting beaches, parks, playgrounds, and urban sporting facilities will not be permitted. Visiting other people's households will not be permitted (beyond 3 families standing in regular contact for babysitting purposes). Participation in bris or wedding ceremonies will be permitted in open spaces only, with a limit of 10 people at most, and all the while maintaining a distance of 2 meters from person to person. Going out to mikvehs for men will be permitted, as long as there will no more than 3 men in the same place at the same time). Prayer will be permitted in the participation of no more than 19 people, within a 500 meter distance from the residence or the workplace, in an open space and all the while maintaining a distance of at least 2 meters from person to person. Prayer will be permitted in the participation of no more than 19 people, within a 500 meter distance from the residence or the workplace, in an open space and all the while maintaining a distance of at least 2 meters from person to person. Zoos, safaris, or national parks may be opened for holding outdoor activities for people with disabilities in accordance with the guidances stipulated in the regulations. Physicians are forbidden from opening a clinic or an operating room for providing aesthetical treatment unless this treatment is required for an essential health-care need |
| 2020-04-19 | Schools closure | open special education programs with a limit of up to 3 children per group, subject to maintaining a fifteen-minute buffer between groups and maintaining hygiene. |
| 2020-04-19 | Limit public gatherings | provisions for replacing on one-time basis workers from the non-essential workers list with workers from the essential worker's list, in a rate that will not exceed 25% of the number of workers in the essential worker's list, all subject to the provisions of the decision. |
| 2020-04-22 | Limit public gatherings | llow the resumption of driving lessons and practical driving lessons |
| Italy | ||
| 2020-04-11 | Limit public gatherings | Some exemptions added to essential business continuation, including book stores and children clothes stores, forestry work |
| 2020-04-16 | Limit public gatherings | Agile work processes enabled for veterinary medicines operators to meet urgent needs |
| 2020-04-15 | Domestic travel restrictions | Travel authorized for non-professional activities related to the cultivation of agricultural products and the breeding of cattle. |
| 2020-04-10 | Full lockdown | Companies may restart their business, if they have been communicating with the prefect and a number of security aspects are in place and certain criteria met |
| 2020-04-23 | Limit public gatherings | For the national Liberation Day certain forms of celebrations have been allowed |
| 2020-05-04 | Domestic travel restrictions | Travel outside the region will instead be allowed for work, health, urgency reasons and for returning to one's home. |
| 2020-05-04 | Limit public gatherings | Access to public parks will be allowed respecting the distance and regulating the entrances to the children's play areas |
| 2020-05-04 | Amendments to funeral and burial regulations | As for religious ceremonies, funerals will be allowed, which will be attended by first and second degree relatives for a maximum of 15 people |
| 2020-05-04 | Limit public gatherings | Take-away and food catering allowed again |
| 2020-05-04 | Limit public gatherings | Closed-door training sessions of individual sports athletes will be allowed |
| 2020-05-04 | Full lockdown | Manufacturing, construction, real estate brokerage and wholesale trade may restart again business under safety measures |
| Netherlands | ||
| 2020-04-29 | Limit public gatherings | Children aged 12 and under will be allowed to play sports together outdoors under supervision. |
| 2020-04-29 | Limit public gatherings | Young people aged 13 to 18 will be allowed to play sports together outdoors under supervision, but must stay 1.5 metres apart. |
| 2020-04-29 | Limit public gatherings | Top-level athletes will be allowed to resume training sessions at dedicated training facilities if they maintain a distance of 1.5 metres from others. |
| 2020-04-29 | Limit public gatherings | From 29 April people aged over 70 who live independently may be visited occasionally by the same one or two people. |
| Peru | ||
| 2020-05-03 | Partial lockdown | The Government of Peru published a legislative decree, which stipulates the gradual re-opening of the economy in four stages. The first stage of the recovery, which will start in May, will enable certain restaurants to offer on-site pick-up and home delivery services. In addition, during the first stage, limited hotel and tourist transportation services will be allowed. |
| Poland | ||
| 2020-05-04 | Public services closure | Social Insurance Institut is restoring standard customer service at ZUS branches under strict hygiene measurements |
| 2020-05-04 | Limit public gatherings | Shopping centres to reopen, under strict hygiene measures and without food centres and on-site catering services; fitness centres within shopping centres need to remain closed |
| 2020-05-04 | Limit public gatherings | Hotels allowed to reopen, under strict hygiene measures |
| 2020-05-04 | Strengthening the public health system | Medical rehabilitation services taken up again |
| 2020-05-04 | Limit public gatherings | Recreational sport allowed, with person limits depending on sports |
| Portugal | ||
| 2020-04-14 | Schools closure | The Prime Minister announced today that for students up until the 9th year, the entire third period will continue with distance learning, with assessment, but without tests or exams. |
| 2020-04-18 | Partial lockdown | lifting of the sanitary fence in Ovar, which ceased to operate at midnight, even though "through the application of special limitations", such as restrictions on freedom of movement |
| 2020-04-22 | Public services closure | Awareness campaign of foreign agricultural workers. The Minister of Internal Administration, Eduardo Cabrita, affirmed that the information actions on the pandemic aimed at foreign agricultural workers are important to defend themselves and the community, but also to maintain an essential activity for the population. Not applicable 22/04/2020 Portugal Govt Government https://www.portugal.gov.pt/pt/gc22/comunicacao/noticia?i=ministros-acompanharam-campanha-sensibilizacao-de-trabalhadores-agricolas-estrangeiros-em-olhao |
| 2020-04-27 | Public services closure | Carris stores and kiosks will reopen to the public on Monday, with safety rules adapted to the covid-19 prevention measures, announced the road transport company in the Lisbon region. |
| 2020-05-04 | Emergency administrative structures activated or established | The plan for moving from a state of emergency to that of calamity has “a schedule of measures that comes into force every 15 days” - 4 and 18 May and 1 June - and, “after each of these phases, we will assess whether we are in a position, as we wish, to be able to take the next step ». |
| 2020-05-04 | Limit public gatherings | the ban on any event or gathering of more than 10 people will remain, although at funerals, it is up to the mayors to define the maximum number of people who can participate, and in the religious service, restrictions on community celebrations are lifted |
| 2020-05-04 | Limit public gatherings | "In public transport, there will be rules limiting 2/3 of its capacity, very demanding hygiene and cleaning standards, and the use of a community mask will be mandatory for all users," |
| 2020-05-04 | Public services closure | reopening of the deconcentrated branches of public services, but with prior appointment by telephone or online, from 4 May. |
| Saudi Arabia | ||
| 2020-04-29 | Curfews | Curfew restrictions have been eased in Al-Qatif governorate (Eastern province). Residents are now allowed to go out during the curfew i.e. 09.00 – 17.00 (local time). |
| 2020-04-29 | Domestic travel restrictions | restrictions have been eased in Al-Qatif governorate (Eastern province). Residents are now allowed to enter and exit the governorate. |
| Singapore | ||
| 2020-04-22 | Economic measures | Comencement of provisions relating to temporary reliefs under the COVID-19 (Temporary Measures) Act ("COVID-19 Act") from 20 April 2020. The COVID-19 Act imposes a moratorium on certain legal actions, so that parties have time to negotiate and work out their differences without the threat or uncertainty of legal proceedings. |
| 2020-04-24 | Limit product imports/exports | Port Authorities Signed Declaration to Keep Ports Open to Seaborne Trade to Support Fight Against the COVID-19 Pandemic. Through this joint declaration, the signatories are committed to work together and ensure that: (1) Merchant ships can continue to berth at port terminals to carry out cargo operations and keep the global supply chain going; (2) Best practices are adopted, according to national circumstances, including precautionary measures for the shipping community, advisories and assistance for shore personnel and ship crew, and safe handling of cargoes during this period; and (3) Port authorities continue to share experiences in combating COVID-19 while safeguarding unimpeded maritime trade. |
| Spain | ||
| 2020-04-13 | Full lockdown | Some sectors, including construction and manufacturing were allowed to go back to work |
| 2020-04-16 | Strengthening the public health system | The Ministry of Health establishes the start of deadlines for evaluations and the final date of residence or training year of health professionals; Assessments may start from today |
| 2020-04-27 | Isolation and quarantine policies | Childrens are allowed to leave their homes again under certain restrictions: children under 14 years old can take controlled walks, accompanied by an adult for one hour a day, during a wide schedule to avoid crowds (between 09:00 a.m. and 09:00 p.m.), to a distance of one kilometer around your home and without access to outdoor recreation areas for children or sports facilities. [https://www.mscbs.gob.es/en/gabinete/notasPrensa.do?id=4879] |
| 2020-03-19 | Isolation and quarantine policies | Children that were not allowed to leave home are now allowed to accompany their parent (limited to single parents) |
| 2020-05-01 | Full lockdown | People may be allowed to leave home and travel to collect agricultural produces meant for self-consumption |
| 2020-05-02 | Full lockdown | Walks and physical activity allowed again according to schedules and ages (in municipalities with more than 5000 persons): Individual physical activity will be allowed once a day from 6:00 a.m. to 10:00 a.m. and from 8:00 p.m. to 11:00 p.m.; Adults with children under 14 years old may be allowed outside from 12:00 to 19:00.; People with special needs and over 70 years have 2 exclusive daily periods, in attention to their vulnerability. |
| Sweden | ||
| 2020-04-16 | General recommendations | Change of recommendation for youth sport; no general advice against youth sport activities, under certain conditions (only persons without symptoms) and with max 50 persons |
| Switzerland | ||
| 2020-04-27 | Strengthening the public health system | Hospitals will be able to resume all normal procedures that were temporarily suspended due to COVID-19 |
| 2020-04-27 | Limit public gatherings | Hairdressing salons, massage practices and cosmetic studios will be allowed to reopen |
| 2020-04-27 | Limit public gatherings | DIY stores, garden centres and florists will also be allowed to reopen; as can unstaffed public facilities such as car washes |
| 2020-04-27 | Amendments to funeral and burial regulations | Regulation that funerals are only allowed with the closest family circle present is lifted |
| 2020-04-16 | Military deployment | Part of the military deployment suspended |
| 2020-04-27 | Strengthening the public health system | Resumes activities in health sector |
| 2020-04-24 | Military deployment | Reducation of army medical support |
| 2020-04-27 | Public services closure | Governmental offices to reopen |
| 2020-04-20 | Public services closure | Additional services may reopen from 20.04.2020, including chimney sweepers, open-air markets |
| 2020-04-24 | Military deployment | Military deployment suspended in the canton |
| 2020-04-30 | Military deployment | Military support suspended |
| 2020-04-24 | Other public health measures enforced | Companies are mandated to develop safety protocols for their employees |
| 2020-04-21 | Limit public gatherings | The government structures are exempted from five person gathering ban to ensure their continuation |
| 2020-04-21 | Limit public gatherings | All child care institutions may reopen, to ensure ease of gradual opening |
| 2020-04-27 | Public services closure | Some public administration offices to reopen |
| 2020-04-27 | Public services closure | Some public administration offices to reopen |
| 2020-04-27 | Public services closure | Expansion of public transport network across country to gradually reopen |
| 2020-04-17 | Border closure | Certain additional exemptions for entry defined, e.g. family members |
| United Arab Emirates | ||
| 2020-04-29 | Domestic travel restrictions | metro service is due to recommence from 29 April. |
| 2020-04-29 | Public services closure | Restaurants, shopping malls and other retail outlets are allowed to open between 06.00 and 22.00. |
| Source: ACAPS. | ||